干旱区生态环境知识资源中心(Arid): Specific sediment yield regionalization and classification using multivariate statistical and GIS tools: a case of hillside reservoirs in semi-arid Tunisia

Arid

DOI	10.1007/s12517-022-09737-5
	Specific sediment yield regionalization and classification using multivariate statistical and GIS tools: a case of hillside reservoirs in semi-arid Tunisia
	Ben Othman, Dhouha; Ayadi, Imen; Laignel, Benoit; Abida, Habib
通讯作者	Ben Othman, D (corresponding author)，Univ Sfax, Fac Sci, Lab Modeling Geol & Hydrol Syst GEOMODELE LR16ES1, Sfax 3000, PB, Tunisia.
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2022
卷号	15 期号:5
英文摘要	The comprehension of a process variability mode and its causing factors may help to make a preventive and conservative decision. This work aims to develop a spatial regionalization of water erosion dynamics and identify key factors that control their variability in semi-arid Tunisia. The study is based on a combined approach of multivariate statistical analyses for 16 geomorphological and hydro-sedimentary variables, characterizing 24 small watersheds of hillside reservoirs located in the Tunisian Dorsal and the Cap Bon Region. Over the study period (1994-2006), measured annual specific sediment yield (SSY) was shown to vary between 1.9 and 32.9 t/ha/year, with an average of 15.3 t/ha/year. The corresponding coefficients of variation (C-V) vary between 0.63 and 1, revealing the importance of erosion dynamics variability and heterogeneity in the study area. Key results made it possible to develop a spatial typology of four different regions based on geomorphological and hydro-sedimentary resemblances between considered catchments. The least vulnerable watersheds to water erosion were shown to occupy the southwestern part of the study area. The erosive dynamic is moderate on the southern boundary and accentuates gradually towards the central part of the Tunisian Dorsal. Moving to the Northern border towards the Cap Bon Region, the erosive process aggressivity becomes very important and yields major quantities of sediment. This study also showed that erosion dynamics is moderate to high in 75% of the studied watersheds. Finally, a geographic information system (GIS) was used to generate a zonation map, representing the spatial developed typology of water erosion processes in the study area.
英文关键词	Water erosion Sediment yield Hillside reservoirs Multivariate statistical analyses GIS Semi-arid Tunisia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000761962300004
WOS关键词	EROSION ; VARIABILITY ; WATER ; DISCHARGE ; BASIN ; RIVER ; ZONE
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376217
作者单位	[Ben Othman, Dhouha; Ayadi, Imen; Abida, Habib] Univ Sfax, Fac Sci, Lab Modeling Geol & Hydrol Syst GEOMODELE LR16ES1, Sfax 3000, PB, Tunisia; [Laignel, Benoit] Univ Rouen Mt St Aignan, Morphodynam & Coastal Res Unit, Dept Geol, UMR M2C CNRS 6143, Rouen, France
推荐引用方式 GB/T 7714	Ben Othman, Dhouha,Ayadi, Imen,Laignel, Benoit,et al. Specific sediment yield regionalization and classification using multivariate statistical and GIS tools: a case of hillside reservoirs in semi-arid Tunisia[J],2022,15(5).
APA	Ben Othman, Dhouha,Ayadi, Imen,Laignel, Benoit,&Abida, Habib.(2022).Specific sediment yield regionalization and classification using multivariate statistical and GIS tools: a case of hillside reservoirs in semi-arid Tunisia.ARABIAN JOURNAL OF GEOSCIENCES,15(5).
MLA	Ben Othman, Dhouha,et al."Specific sediment yield regionalization and classification using multivariate statistical and GIS tools: a case of hillside reservoirs in semi-arid Tunisia".ARABIAN JOURNAL OF GEOSCIENCES 15.5(2022).